Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library

Andrew Lumsdaine (Indiana University)
July 2016 - Presentation Design and Implementation of the GraphBLAS Template Library (GBTL)

The design of the GraphBLAS Template Library separates graph algorithm development from performance tuning for heterogeneous high-performance computing architectures.

May 2016 - Conference Paper GBTL-CUDA: Graph Algorithms and Primitives for GPUs

In this paper we present our initial implementation of GraphBLAS primitives for graphics processing unit (GPU) systems called GraphBLAS Template Library (GBTL).

December 2015 - Conference Paper Dynamic Parallelism for Simple and Efficient GPU Graph Algorithms

Presented at the 2015 Supercomputing Conference, this paper shows that dynamic parallelism enables relatively high-performance graph algorithms for GPUs.